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Databricks Onboarding Sessions - Advanced

Congratulations on completing the first part of your Databricks Onboarding Journey.

Now that you are starting to get familiar with the Databricks platform, are you ready to get to the next level?

In this series of 3 webinars, we will help you gain a deeper understanding of the Databricks platform and make the most of it.

Session #1: Streaming with Delta Live Tables

Tuesday 4 April, 4pm BST I 5pm CEST

Speaker: Sergio Ballesteros

Level: Intermediate to Advanced

During this session you will learn about how to do streaming on Databricks using Delta Live Tables. With a hands-on example, you will learn about how Delta Live Tables simplifies the orchestration and accelerates the development of streaming pipelines. We will also cover how to monitor the data quality.

Topics covered:

• Delta Live Tables
• Autoloader
• Data quality monitoring 

Session #2: Data Analysis with Databricks SQL

Wednesday 5 April, 3pm BST I 4pm CEST

Speaker: Junaid Shaikh

Level: Intermediate to Advanced

During this session, you will learn about Data Analysis and Visualization using Databricks SQL. Topics covered during this session will help you to run SQL queries and create dashboards on data stored in your data lake.

Topics covered:

• Introduction to Databricks SQL
  
  • Queries
  • Visualizations
  • Dashboards and alerts
• SQL endpoints
  • Creating and managing endpoints
  • Endpoint sizing
• Photon
• Query Performance
  • Query profile
  • Query caching
• Remote query execution & BI-partner connect

Session #3: Implementing MLOps in Databricks Lakehouse

Wednesday 5 April, 4pm BST I 5pm CEST

Speaker: Anya Rumyantseva

Level: Intermediate to Advanced

During this one-hour session, you will learn about how to implement MLOps (DataOps+DevOps+ModelOps) in Databricks Lakehouse. Topics covered during this session will help you to build efficient, reliable, reproducible, and well-documented ML pipelines. 

Topics covered: 

• MLflow:
  • MlFlow recap
  • MLflow auto-auto logging demo
• Feature Store:
  • Role of Feature Store in MLOps
  • Feature Store UI demo
  • Upstream Lineage, Downstream Lineage, Feature Discoverability
• AutoML:
  • Glassbox” approach for AutoML
  • AutoML Demo
• Models registry
• Models deployment  

Session #4: Accelerate your Developer Experience

Thursday 6 April, 4pm BST I 5pm CEST

Speaker: Ksenia Shishkanova

Level: Intermediate to Advanced

During this session, you will learn about developing tools and capabilities on Databricks. This session's topics will help you develop your code, build and deploy Databricks applications efficiently.

Topics covered: 

• Notebooks
• IDE with DBX
• CI/CD
• SQL tools
• REST and Python API